#MCP
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AI Agents Buying Their Own Servers: The Automation Revolution of MCP and VPS
Explore how AI agents autonomously buy VPS servers via MCP: ClaudeCode connects to EQVPS, prepaid crypto top-ups, autonomous ordering, and confirmation before destructive ops.
Nike Builds Self-Healing Telemetry System with MCP and AI Agents
Nike's former observability platform director Panos Tsilopoulos shares how to build a closed-loop telemetry control system with OpAMP, MCP, and AI agents, managing 100K OpenTelemetry Collectors and enabling safe human-AI collaborative operations through code-based guardrails.
MCP vs A2A: The Agent Interconnection Showdown Between Salesforce and ServiceNow
Salesforce AgentForce packages agents as MCP server tools; ServiceNow opens agent access via A2A. We compare design differences, permission models, and selection logic for enterprise AI agent interconnection.
MCP vs A2A: The Fundamental Difference Between AI Tool Invocation and Agent Collaboration
A customer service order query scenario explains the difference between MCP and A2A: MCP handles discovery and invocation of tools, resources, and prompts for AI applications, while A2A handles task delegation and coordination between independent agents. The two can be layered.
API vs MCP: Why Do AI Agents Need the MCP Protocol?
Explains the core difference between API and MCP: APIs are low-level software interfaces; MCP is a standardized protocol connecting AI apps and tools. MCP doesn't replace APIs—it eliminates repeated AI integration costs.
MCP TypeScript SDK: One Plugin to Serve All AI Assistants?
MCP TypeScript SDK lets TypeScript developers connect one server to multiple AI assistants, with tool, resource, and prompt registration, schema validation, local and HTTP deployment, and self-hosting security risks.
OneMemory: A Self-Hosted Server That Lets AI Agents Share Memory
OneMemory is a small self-hosted server that uses MCP and REST to let AI agents like Claude share notes, tasks, and handoffs across phone and PC sessions.
OpenWiki in Practice: Enabling Agents to Understand Enterprise Source Code Business Logic Without Documentation
Based on a Bilibili OpenWiki practice-sharing session, this article explains how to make an Agent read enterprise source code to automatically extract business rules and build a knowledge base without relying on business documentation, and expose it to agents via the MCP protocol. It also covers enterprise implementation challenges and the boundaries of the approach.
MCP Official Servers v2.1.0 Fix Eight Vulnerabilities: Path Traversal and SSRF Protections Upgraded
MCP official servers release v2.1.0, fixing eight security vulnerabilities across filesystem, Everything, and fetch servers, covering path traversal, cross-origin requests, and SSRF; date-version users must explicitly upgrade to 2.0.1.
Agent Skills Explained: Progressive Disclosure Architecture and Comparison with MCP
An in-depth analysis of Agent Skills architecture: what progressive disclosure is, how Skills give Agents modular expansion, differences from MCP, Function Calling, and Multi-Agent, and a learning path for custom Skills development.
Claude Code MCP Tasks: A New Paradigm for Long-Running Tasks and Proactive Questioning
Claude Code supports MCP Tasks and elicitations, enabling tool calls to run as long tasks and ask users questions mid-execution. This article explains the conditions, current gaps, and required server changes.
Anthropic Open-Sources sandbox-runtime: A Container-Free Sandbox for AI Agents
Anthropic open-sources sandbox-runtime (srt), an OS-level sandbox built on macOS Seatbelt and Linux bubblewrap that restricts file and network access for AI agents, MCP servers, and CLI tools—lightweight isolation without containers.
DB Chat: Conversing with PostgreSQL in Natural Language, with AI Auto-Generating SQL
dbchat lets users converse with a PostgreSQL database in natural language, with an AI agent auto-generating SQL and returning live results. This article analyzes its MCP Server + Next.js + AWS full-stack architecture and anti-hallucination guardrail design.
Building AI Agents with Python and the Claude API: Tool Use and MCP in Practice
A hands-on Python AI Agent tutorial with the Claude API: from basic messages.create calls to Tool Use, Agent Loop implementation, the MCP open standard, the Claude Agent SDK, and security best practices.
Gemini CLI's Seven Key Features: A Million-Token Open-Source Terminal AI Agent
What is Gemini CLI? Discover its seven key features: Apache 2.0 open source and free, 1M token context, MCP integration, GEMINI.md configuration, slash commands, and Google Search grounding, plus getting-started advice.
Sidekick: One MCP Server Connects Alexa, AI Agents, and Voice Games
Amazon Hackathon project Sidekick uses one MCP server to power Alexa-style voice, AI agents, and voice games; Control Room logs the full request chain, and Movie Buddy grounds answers with subtitle cues.
Claude Agent Tool Integration Guide: Custom Tools, MCP, and Subagents
An in-depth look at Claude agent tool integration: custom tool definitions, MCP server access, tool search, and subagent budget control for production-grade agent systems.
How MCP Makes Wi-Fi AI Agents Practical: From the Plumber Analogy to a 15-Minute Build
A WLPC Prague 2026 talk breakdown: how MCP lets AI agents connect to Wi-Fi networks, the full 15-minute process for building your first MCP server, and the four hard rules for tool design—read-only by default, credential isolation, and audit logging.
AI Agent Security Field Manual: Defending Against Injection, MCP Poisoning, and Zero-Click Leaks
AI Agent security field guide: from the lethal trifecta and prompt injection principles, with six real cases (Copilot zero-click leak, Slack AI, MCP poisoning, malicious NPM package, Glassworm invisible characters, OAuth supply chain attack), nine layers of defense controls (least privilege, sandboxing, default deny, egress monitoring), three-tier implementation roadmaps for individuals, teams, and enterprises, and a first-hour incident response checklist.
Andrew Ng Teams Up with Anthropic: A Complete Walkthrough of the Claude Code Hands-On Tutorial
Andrew Ng and Anthropic launch a Claude Code short course covering clear context, parallel sessions, MCP servers, and three hands-on projects: a RAG chatbot, Jupyter data analysis, and Figma-to-frontend.